Hybrid Metaheuristic-Based Economic Dispatch Incorporating Valve-Point Loading Effects

DOI

10.2991/978-94-6463-970-4_29How to use a DOI?

Keywords

Economic Dispatch; Valve-Point Effects; Adaptive Genetic Algorithm; Time-Varying Acceleration Coefficient PSO; Metaheuristic Optimization; MATLAB Simulation

Abstract

In modern power systems, achieving optimal economic load dispatch (ELD) is essential for reducing operational costs while maintaining system reliability. The study addresses the classical ELD problem considering valve-point loading effects (VPE), which introduce non-convexity and ripples into the fuel cost function, rendering traditional optimization methods ineffective. To overcome these challenges, the paper proposes the use of two advanced metaheuristic algorithms: Adaptive Genetic Algorithm (AGA) and Time-Varying Acceleration Coefficient Particle Swarm Optimization (TVAC-PSO). A five-generator thermal system was modeled in MATLAB, incorporating realistic generator limits and cost coefficients. The performance of AGA and TVAC-PSO was evaluated based on total generation cost, convergence characteristics, and computational efficiency. Simulation results showed that both algorithms effectively minimized fuel cost while satisfying power demand and generator constraints. The TVAC-PSO achieved nearly identical total generation cost (only 0.0038% higher than AGA) but reduced computation time by approximately 88%. TVAC-PSO demonstrated faster convergence, whereas AGA exhibited better exploration of the solution space. The study highlights the practical applicability of these algorithms in real-world dispatch problems, offering a reliable and scalable approach for modern power system operations. Results were visualized through convergence plots, cost surface plots, and generator output distributions. The findings support the adoption of intelligent optimization methods for complex ED scenarios, especially in the presence of valve-point effects.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Samuel Okpoti Odamtten
AU  - Emmanuel Anang Sowah
AU  - Taufiq Mohammed Imoro
AU  - Oscar Famous Darteh
AU  - Acakpovi Amevi
PY  - 2025
DA  - 2025/12/31
TI  - Hybrid Metaheuristic-Based Economic Dispatch Incorporating Valve-Point Loading Effects
BT  - Proceedings of the International Conference on Engineering, Science, and Urban Sustainability (ICESUS 2025)
PB  - Atlantis Press
SP  - 463
EP  - 478
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-970-4_29
DO  - 10.2991/978-94-6463-970-4_29
ID  - Odamtten2025
ER  -